PORTFOLIO
🧠AI-Driven Dementia Detection via MRI Imaging
Technologies: 3D-CNNs, TensorFlow, MRI Data Processing, Grad-CAM, Flask API
Developed a deep learning-based MRI analysis pipeline for early detection of dementia and Alzheimer’s. Utilized 3D Convolutional Neural Networks (3D-CNNs) to process volumetric MRI scans, identifying structural abnormalities and neurodegeneration patterns. Integrated Grad-CAM and Layer-wise Relevance Propagation (LRP) for model interpretability, enabling clinicians to validate AI-driven diagnoses. Deployed via Flask API for seamless integration into hospital radiology workflows, enhancing early detection and supporting timely medical interventions.
.png)
.png)
🌎 COVID-19 Impact Analysis Using Google Earth
Technologies: Google Earth Engine, Remote Sensing, GIS, Change Detection Algorithms, Deep Learning, Sentinel-2, Landsat, Time-Series Analysis
Developed an ML-driven geospatial analytics system to assess COVID-19’s impact on urban infrastructure, pollution, and mobility using remote sensing and satellite imagery. Integrated change detection with deep learning-based segmentation to analyze land-use, urban growth, traffic, and pollution. Processed Sentinel-2 and Landsat data via Google Earth Engine and GIS for automated socio-economic shift detection. Deployed a web dashboard for researchers, planners, and policymakers to visualize trends and support data-driven interventions.
📈 Quantum-Enhanced Financial Market Forecasting
Technologies: Quantum Kernel Methods, Quantum Support Vector Machines (QSVM), TensorFlow Quantum, Reinforcement Learning, Bayesian Optimization
Developed a hybrid quantum-classical financial forecasting model leveraging Quantum SVMs for advanced time-series prediction. Integrated quantum-enhanced feature selection to optimize computational efficiency and improve trend detection in volatile markets. Reinforcement learning-based portfolio strategies were implemented for adaptive asset allocation, with Bayesian optimization for risk-aware decision-making.
.png)
.png)
📦 AI-Driven Product Classification System
Technologies: BERT, DistilBERT, TensorFlow, FastText, NLP, Named Entity Recognition (NER), Scikit-learn, Flask API, Cloud Deployment
Developed an AI-powered product classification system for e-commerce platforms, leveraging BERT-based embeddings and NLP-driven feature extraction to enhance automated cataloging, search accuracy, and product taxonomy mapping. Integrated Named Entity Recognition (NER) and FastText embeddings to improve context-aware product classification, reducing misclassification errors. The system is optimized for real-time inference and scalable API deployment, enabling seamless integration with retail inventory management systems and personalized recommendation engines.
🚀 HPC-Powered Climate Modeling for Extreme Weather Prediction
Technologies: Distributed Deep Learning (Horovod, TensorFlow), High-Performance Computing (MPI, CUDA), Satellite Data Fusion, LSTMs
Developed an HPC-accelerated deep learning model to predict extreme weather events, such as hurricanes and heatwaves, using high-resolution climate datasets. Deployed distributed deep learning frameworks (Horovod with TensorFlow) across multi-GPU HPC clusters to scale training of LSTM models for temporal weather prediction. Integrated satellite imagery and sensor data fusion for improved climate pattern detection. This project enhances real-time weather forecasting, aiding disaster preparedness.
.png)
.png)
🛰️ Space Debris Detection and Classification System
Technologies: Convolutional Neural Networks (CNNs), TensorFlow, OpenCV, Image Processing, Object Detection Algorithms
Developed an AI-driven system to detect and classify space debris using satellite imagery. Leveraged Convolutional Neural Networks (CNNs) implemented in TensorFlow to analyze images and identify debris objects. Integrated OpenCV for image preprocessing and augmentation, enhancing the model's accuracy in distinguishing between operational satellites and debris. This system aids in monitoring and mitigating the risks posed by space debris to active space missions.